Description Usage Arguments Value Examples

View source: R/optimization_functions.R

Computes the value of the objective function in X to be optimized at each iteration of ADMM.

1 | ```
objective_function(X, Y, projection = default_projection, Theta, gamma, tau)
``` |

`X` |
A matrix of Poisson parameters. |

`Y` |
A matrix of counts (same size as X). |

`projection` |
A projection function - identifiability constraint - by default centers by rows and columns |

`Theta` |
A matrix interaction (same size as X). |

`gamma` |
A matrix (dual variable, same size as X). |

`tau` |
A number (augmented Lagrangian parameter) |

The value of the augmented Lagrangian (with fixed `Theta`

and `gamma`

) taken at `X`

.

1 | ```
``` |

genevievelrobin/lori documentation built on April 2, 2018, 7:30 p.m.

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